Data Analyst with 2+ years in Supply Chain Analytics & Operational Intelligence
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Data Analyst with 2+ years of experience delivering analytics solutions across supply chain, product analytics, and operational intelligence. Skilled in SQL, Python, Snowflake, Databricks, and Alteryx for building scalable data pipelines, workflow automation, and data preparation. Experienced in developing KPI-driven dashboards using Power BI & Looker Studio and translating complex business problems into actionable data-driven insights.
University of Allahabad
Postgraduate Program · Data Analytics & Data Science
August 1, 2022 – June 30, 2024
University of Allahabad
Bachelor of Commerce · Business Analytics, Statistics & Finance
August 1, 2019 – June 30, 2022
SNP INNOVATION PRIVATE LIMITED
Data Analyst
May 1, 2023 – Present
India
Global Supply Chain & Operational Intelligence Platform
May 1, 2023 – June 1, 2026
Delivered an enterprise-grade, data-driven supply chain analytics solution to enhance operational efficiency, cost optimization, and customer experience across inventory, order fulfillment, logistics, supplier performance, reverse logistics, and demand forecasting. Designed and implemented a scalable Power BI reporting ecosystem by integrating optimized SQL data models, enabling real-time visibility into global warehouse operations and standardizing KPI-driven performance monitoring. Automated executive dashboards for inventory, order lifecycle, and supplier tracking—resulting in a 15% improvement in fulfillment efficiency, 10% reduction in operational costs, and 5% decrease in product returns.
Mobile Product Intelligence & User Behavior Analytics Platform
May 1, 2023 – June 1, 2026
Implemented a scalable product analytics framework to drive data-led optimization of mobile app performance, user engagement, feature adoption, and retention across the user lifecycle. Designed and automated KPI-driven Power BI dashboards to deliver real-time visibility into daily active users, session behavior, feature utilization, and app stability—resulting in a 10% increase in feature adoption, 8% reduction in crash rate, and 7% improvement in user retention.
Data Analytics Virtual Experience
KPMG & Forage
June 1, 2026 – Present
Data Analytics Virtual Experience
Deloitte (Forage)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering global supply chain and mobile product intelligence, indicates adaptability and a broad interest in applying data analytics across different business domains. The continuous pursuit of education (Postgraduate Program) and certifications (KPMG, Deloitte) suggests a proactive learning attitude and commitment to professional development. The role alignment with 'Data Analyst' is strong, given the direct experience and stated target role.
Soft Skills & Operational Fit
The candidate's experience highlights strong collaboration skills through working with business teams to define metrics and reporting standards. The ability to translate complex business problems into actionable insights suggests strong problem-solving and analytical thinking. The quantifiable results in projects (e.g., 15% improvement in fulfillment efficiency) indicate a results-oriented approach and operational effectiveness.